Topic: PhysMAP

Precise identification of in-vivo cell types using electrophysiological signals would allow for the simultaneous monitoring of different cell populations during behavior. Current approaches typically classify waveforms into broad- and narrow-spiking. However, these methods rarely augment analysis of waveforms with other physiological properties (e.g., inter-spike intervals) or validate against “ground truth” obtained through optotagging. We need a principled and validated approach to combine multiple physiological properties to delineate cell types in-vivo in an unsupervised manner. Our appro